Forecasting the optimal business parameters of mines using time sequence model 用時間序列模型預測礦山最佳經(jīng)營參數(shù)
A forecasting method of aero - engine wear faults based on gray time sequence model 基于灰色時序的航空發(fā)動機磨損故障預測模型
In the sixth chapter the application of sequence models to anomaly detection is studied 第六章是序列模式在異常檢測中的應用。
The traditional logistics transportation amounts prediction ways mainly indicate liner regression and time sequence model 傳統(tǒng)的物流運輸量預測技術(shù)大多采用線性回歸和時間序列技術(shù)。
When our country economics lies in the good stage , applying time sequence model can satisfy the demand of prediction precision 因此當我國經(jīng)濟步入良性穩(wěn)定發(fā)展階段時,仍可采用操作相對簡便的時間序列技術(shù)以滿足預測的精度要求。
Conclusion simulations for the electric power yield sequence and voyage sequence models show that this algorithm is practicable and effective 結(jié)論仿真試驗結(jié)果證明了基于進化算子的季節(jié)時間序列模型是一種操作簡便、易于實現(xiàn)的有效模型。
Abstract : based on the strong learning ability and nonlinear function approximation capacity of multi - layer perceptrons ( mlps ) , a generating chaotic sequence model is proposed in this paper 文摘:應用具有全局最優(yōu)的進化規(guī)劃算法建立產(chǎn)生混沌序列的優(yōu)化神經(jīng)網(wǎng)絡(luò)模型。
This tool is centered on the user , under the user " s control , and to be capable to effectively mine the rule of time sequence model and the classification rule and the association rule in the database or data warehouse 設(shè)計并初步實現(xiàn)了一個數(shù)據(jù)挖掘原型系統(tǒng),該工具以用戶為中心,在用戶的干預下能夠有效的對現(xiàn)實數(shù)據(jù)庫、數(shù)據(jù)倉庫進行時間序列模式、分類規(guī)則和關(guān)聯(lián)規(guī)則的挖掘。
At present commonly used mathematics models is based on statistics , such as time sequence model and regression model ( includes linear and nonlinear model ) , but ann which has been used extensively in many fields , is seldom used 目前常用的主要是基于統(tǒng)計學的數(shù)學模型:時間序列預測模型、回歸模型(包括線性的和非線性的回歸模型) ,對目前已在許多領(lǐng)域廣泛應用的人工神經(jīng)網(wǎng)絡(luò)模型應用很少。